WEBVTT

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So if you've started looking into cloud computing

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lately, you probably know that feeling right

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just this Absolute flood of jargon hitting you.

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Oh, yeah, I asked Paris Oz BPC C2 It feels less

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like technology and more like trying to learn

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a completely new language. Honestly, it really

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does It's a it's easy to feel pretty overwhelmed

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before you even get to what it all means But

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you know the thing we really want to unpack today

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is that? underneath all that cloud computing,

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it's built on just a few pretty powerful, straightforward

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ideas. So our mission here is to kind of strip

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away that noise, use some clear analogies, and

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really build a solid foundation for you. Exactly.

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Think of this as the shortcut to getting informed.

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Because by the end of this chat, you will just

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know what the cloud is, but hopefully you'll

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really grasp the core reasons. economic, technical,

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why it's become just this massive force in tech

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today. Yeah, the why is key. So let's get into

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it, maybe starting with the huge shift, the big

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change in how IT budgets even work. Okay, where

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do we start? The old way. Yeah, got to look back

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first. To really get the cloud, you need to remember

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the world of on -premises infrastructure. You

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know how things worked just a couple of decades

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ago? Right. If you wanted to launch, say, a new

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website or app, you had months of work ahead

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of you, a huge list of things to do before you

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even thought about writing cloud. You were basically

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a full -time capacity planner. Yeah. And a guesser,

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really. You had to predict, like six months out,

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how many people would visit your site. And that

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guess, it was loaded with risk. Seriously, best

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too low, your site crashes, the minute you get

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popular, boom, lost sales, lost trust. But guess

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too high. Well, you've just spent a ton of money,

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capital on servers that are just gonna sit there,

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maybe doing nothing 90 % of the time. Yeah, and

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that wasn't small change either. We're talking

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massive upfront capital expenditure, CapEx, buying

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physical servers, networking gear, cooling systems.

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Actual physical stuff. Physical assets, exactly.

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Then you waited maybe weeks, maybe months for

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delivery. Then you needed a special room, a data

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center with power, security. The whole setup.

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Right. You were spending all your energy on what

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we now call, and this phrase is important, undifferentiated

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heavy lifting. OK, break that down. It means

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all the work -racking servers, stacking them,

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replacing drives when they fail, physical security,

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managing the network stuff that doesn't actually

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make your products special or different from

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anyone else's. Like you said, building your own

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power plant just to turn the lights on. Pretty

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much. It's a huge drain on resources. Terrible

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use of time, yeah. It is. And that's precisely

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what the cloud wave fixes. So cloud computing,

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fundamentally, it's the on -demand delivery of

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IT resources. Things like virtual servers, storage,

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databases, even specialized AI tools. Exactly.

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All delivered over the internet. And here's the

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kicker. with pay as you go pricing. Okay, so

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that's the core economic shift you mentioned,

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moving from that huge upfront capex to operational

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expenditure, OPEX. Right. Instead of that big

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initial investment, your infrastructure becomes

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more like a utility bill. You pay as you go,

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only for what you actually use. The electrical

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grid analogy, that makes sense. It's perfect,

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isn't it? You don't build your own power plant.

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You just plug into the wall, pay the utility

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like AWS or Google Cloud or Azure only for the

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electricity you consume. You don't worry about

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how they make the power. You just use it. You

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just use it. And because these big providers

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run these enormous global networks of secure

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data centers, when you use a cloud service, you're

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basically renting A tiny slice. A tiny but crucially,

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logically isolated slice. Yes, very important.

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Logically isolated. But it means even a tiny

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startup gets access to the kind of power and

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scale that used to be only for massive corporations.

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That's huge. It really is. And that idea of renting

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is slow, so it leads us right into those service

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models. The menu, if you will. This is where

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IAS, PIAS, and SOS come in. Different levels

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of management. Right, the infamous acronyms.

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And to make sense of who manages what you, versus

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the provider, we need the pizza analogy, don't

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we? The pizza analogy is classic for a reason.

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Let's start with IAS Dryas. Infrastructure as

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a service. IAS gives you the basic building blocks.

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Think compute power, virtual servers networking,

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raw storage. But you, the customer, you manage

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the operating system, the runtime, your applications,

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your data. Everything on top. So in pizza terms,

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this is the take and bake option. Exactly. The

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pizza place gives you the kitchen, the oven,

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the dough, sauce, cheese, toppings, all the raw

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ingredients. You assemble it. You bake it. You

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decide exactly how it's done. Maximum control.

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Maximum control. Key examples here are things

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like Amazon EC2. Those are the virtual servers.

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And Amazon S3 for object storage, the fundamentals.

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Got it. So moving up a level. Moving up in abstraction.

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Yeah. We get to pick an S platform as a service.

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OK. Here, you, the user, you only really worry

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about your application code and your data. Deploying

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it, managing it. Ah, so this is like ordering

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pizza for delivery. Perfect analogy. You don't

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care about the kitchen, the oven, making the

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dough. A ready to eat pizza just shows up at

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your door. The cloud provider handles all the

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stuff underneath my app. The OS, patching, servers,

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storage. All of it. They manage the platform.

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Think about services like... AWS Elastic Beanstalk,

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which automatically handles capacity and load

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balancing, or Amazon RDS for managed databases.

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Oh, RDS is huge, right? Not having to manage

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database patching and backups yourself? Massive

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time saver for developers. Yeah. Let's them focus

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purely on the application, not database administration.

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OK, that sounds way easier. But what's the catch?

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If they manage the OS and runtime, does that

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mean I lose control if my app needs something

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really specific? like a custom OS setting or

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something. Ah, that's the core trade -off right

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there. You trade some of that fine -grain control

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for speed and convenience. Right. If you absolutely

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need deep OS access or very specific network

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configurations, you probably need IS. But if

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speed and easier maintenance are the priority,

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paid us is often the better choice. It really

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depends on the application. Makes sense. OK,

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and the last one, SaaS. SAAS, software as a service.

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This is the simplest one, really. It's a finished

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product, completely run and managed by the provider.

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So the pizza analogy here is just dining out

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at the restaurant. Exactly. You show up, order,

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eat. The restaurant handles everything, cooking,

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serving, cleaning up. You just use the software,

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usually through your web browser. So things like

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Gmail, Salesforce, Dropbox, Netflix, even Amazon's

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own work mail. All SAAS. Things you use every

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day without thinking much about the infrastructure

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behind them. Right. And understanding these three

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models, IS, PAS, SAS, is absolutely critical

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because it feeds directly into the shared responsibility

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model. Ah, yes. That's key for security, isn't

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it? Knowing exactly what the provider is responsible

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for. Like the physical security of their data

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centers? And what you are responsible for. Oh.

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Which could be anything from patching the OS

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in IS. all the way up to just managing who has

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access to the SaaS application, knowing that

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dividing line is crucial. Definitely. Okay, so

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we know the service types, but where does this

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cloud actually live? Let's talk deployment models.

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Good question. Most of what people mean when

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they just say the cloud is the public cloud.

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Right. Owned and run by a third party like AWS,

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Google, Azure. Exactly. Services delivered over

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the public internet, and it's a multi -tenant

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architecture. Okay, multi -tenant might sound

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a bit... Scary to some people. Does that mean

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my stuff is mixed in with others? It's a fair

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concern, but no, not really. While you are sharing

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the underlying physical hardware of the building,

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basically your data and applications are kept

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separate and secure through logical isolation.

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Ah, so the analogy is like living in a big, secure

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apartment building. That's a great way to put

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it. You share the foundation, maybe the security

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guards downstairs, but you have your own private

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apartment with your own locks. That locked apartment,

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that's your VPC. Your virtual private cloud.

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Okay, explain that bit. Right. The VPC is fundamental.

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It's how you carve out your own private, isolated

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section of the provider's network. Inside your

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VPC, you control your own IP addresses, subnets,

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route tables, firewalls. It's your virtual network

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boundary. Super important for security. Got it.

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So that's public cloud. What's the opposite?

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It'll be a private cloud, or what we used to

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just call on -premises infrastructure. Running

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your own data center, basically. Exactly. Operated

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purely for one single organization. You get maximum

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control, sure. And sometimes regulations require

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it. But you completely lose those huge economies

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of scale, the agility. You're back to owning

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the whole house again. Total control, but also

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total responsibility for fixing the roof and

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mowing the lawn. You got it, all the costs and

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maintenance fall on you. Okay, so public, private,

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is there something in between? There is, and

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it's very common, especially for larger companies,

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the hybrid cloud. Hybrid, makes sense, a mix.

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A mix, yeah. Signing a private cloud or your

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on -prem setup with one or more public cloud

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services, the key is having tools that let data

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and applications move between them somewhat easily.

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Why would you do that? Lots of reasons. Maybe

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disaster recovery, keeping backups in the public

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cloud. Or maybe to handle temporary spikes in

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traffic. You can burst out to the public cloud

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for extra capacity just when you need it without

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buying permanent servers for that peak. Ah, OK.

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Like owning your house but renting a storage

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unit for the holiday decorations you only need

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once a year. Perfect. Exactly like that. It gives

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you flexibility. Cool. Okay, so we've covered

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the what and the where. Now let's really nail

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the why. The six big advantages that drive cloud

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adoption. Yeah, these six points from AWS really

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summarize the business case, the revolution.

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First, and we've touched on this, trading capital

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expense for variable expense. CapEx for OPEX.

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Pay as you go. Freeze up cash. Hugely important.

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Second, you benefit from massive economies of

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scale. Because providers like AWS buy hardware

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in such incredible volumes. The Costco effect.

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The Costco effect. It means lower prices for

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everyone. Prices that no single company could

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ever achieve buying servers on their own. Makes

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sense. Third. Third, stop guessing capacity.

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Remember that nightmare? Oh, yeah. Eliminated

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by elasticity. You can get exactly the capacity

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you need when you need it. Scale up in minutes,

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scale down in minutes, traffic triples for an

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hour. Fine, your capacity triples for that hour,

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then shinks back. Automatically. That's incredibly

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powerful. Okay, fourth advantage. Fourth, increase

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speed and agility. This is huge for developers.

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Need a new server, a database, a machine learning

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environment. You can get it in minutes, not weeks

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or months. So experimenting becomes cheaper and

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faster. Massively cheaper and faster. Yeah. And

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this speed combined with elasticity leads to

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something really profound. The democratization

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of advanced technology. What do you mean by that?

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It means things that used to be incredibly expensive

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and complex, like massive clusters of GPUs for

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AI training, are now accessible to almost anyone,

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almost instantly. You can rent supercomputing

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power for like five minutes, run your job and

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turn it off, pay pennies. That ability to just

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try things with cutting edge hardware, that's

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transformed innovation in the last decade. Yeah,

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I can see that changes everything. Okay, fifth

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advantage. Fifth, stop spending money on that

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undifferentiated heavy lifting. We talked about

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that. Let your smart engineers focus on building

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your actual product, the thing that makes you

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money, not racking servers. Focus on what matters

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to the business. Makes sense. And the last one,

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sixth. Sixth, go global in minutes. Seriously,

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you want to launch your app for users in Europe

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and Asia. You can deploy it in AWS regions around

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the world with a few clicks. Reduce latency,

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give everyone a better experience. Doing that

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the old way. Months of work, millions of dollars,

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now. Minutes. Wow, okay, that's... That's a compelling

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list. Yeah. Economics, scale, elasticity, speed,

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focus, global reach. A combination that's pretty

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much unstoppable, really. All right, let's tie

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this all together. Let's use that startup example

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you mentioned, Photoverse, the photo sharing

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app. OK, great idea. So Photoverse, old way,

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they'd need, what, tens, hundreds of thousands

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in seed funding just for hard work. Easily. Months

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setting it up, and then that constant fear, crash

00:12:26.529 --> 00:12:28.850
if you succeed, stuck with useless gear if you

00:12:28.850 --> 00:12:32.200
flop, high risk. Very high risk. Now, the AWS

00:12:32.200 --> 00:12:34.559
way, the cloud way, it's total different. Okay,

00:12:34.779 --> 00:12:37.559
they launch a few virtual servers, Amazon EC2

00:12:37.559 --> 00:12:40.659
instances, that's IAS, to run their web application

00:12:40.659 --> 00:12:43.639
code. Simple. For storing potentially billions

00:12:43.639 --> 00:12:47.100
of user photos, they use an object storage service,

00:12:47.360 --> 00:12:52.600
like Amazon S3. Also, IAS. Super durable, incredibly

00:12:52.600 --> 00:12:54.870
cheap. per gigabyte. And the database. Yeah.

00:12:55.009 --> 00:12:56.590
They don't want to manage that themselves, right?

00:12:56.750 --> 00:12:59.090
Definitely not. So they use a managed database

00:12:59.090 --> 00:13:03.330
service like Amazon RDS. That's Pay S. AWS handles

00:13:03.330 --> 00:13:05.549
the backups, the patching, the headaches. They

00:13:05.549 --> 00:13:08.350
just use the database. Nice. And what about handling

00:13:08.350 --> 00:13:10.950
unexpected traffic spikes, like if a photo goes

00:13:10.950 --> 00:13:14.159
viral? Ah, elasticity comes to the rescue. They

00:13:14.159 --> 00:13:16.419
set up auto -scaling, it automatically watches

00:13:16.419 --> 00:13:19.179
the traffic, adds more EC2 servers when needed,

00:13:19.679 --> 00:13:22.320
remove them when things quiet down. So the capacity

00:13:22.320 --> 00:13:25.440
problem is just handled? Handled. Automatically

00:13:25.440 --> 00:13:27.639
and elastically. Okay, so let's sum up the result

00:13:27.639 --> 00:13:30.259
for Photoverse using the cloud. Zero dollars

00:13:30.259 --> 00:13:33.799
in upfront hardware costs. Zero. 100 % of their

00:13:33.799 --> 00:13:35.639
team's effort goes into building the app, not

00:13:35.639 --> 00:13:38.019
the infrastructure. They get instant elasticity,

00:13:38.460 --> 00:13:40.720
much lower business risk, and they can scale

00:13:40.720 --> 00:13:43.440
globally basically overnight if needed. That

00:13:43.440 --> 00:13:45.220
really paints the picture. It's just a fundamentally

00:13:45.220 --> 00:13:48.059
different, more agile way to build and run technology.

00:13:48.620 --> 00:13:50.799
It absolutely is. So maybe we can leave folks

00:13:50.799 --> 00:13:54.000
with this thought to chew on. If companies don't

00:13:54.000 --> 00:13:56.419
need that massive upfront capex anymore, and

00:13:56.419 --> 00:13:59.799
if they can instantly access the world's most

00:13:59.799 --> 00:14:03.519
powerful specialized hardware affordably, what

00:14:03.519 --> 00:14:06.259
does that really do to the barriers for innovation,

00:14:06.700 --> 00:14:09.759
for competition? Yeah, what major roadblocks

00:14:09.759 --> 00:14:13.320
for developers, for entrepreneurs have just been

00:14:13.320 --> 00:14:15.820
vaporized by this shift? Exactly. What becomes

00:14:15.820 --> 00:14:18.980
possible now that wasn't before? That's a powerful

00:14:18.980 --> 00:14:21.240
question. And maybe for you listening, think

00:14:21.240 --> 00:14:23.340
about the sauce apps you use constantly streaming

00:14:23.340 --> 00:14:26.159
documents, whatever. Just try to picture the

00:14:26.159 --> 00:14:28.320
incredible infrastructure layer underneath managed

00:14:28.320 --> 00:14:31.080
by the provider and think about that shared responsibility

00:14:31.080 --> 00:14:33.480
line. Where does their job end and yours begin?

00:14:33.820 --> 00:14:35.940
It's a useful exercise. Well, thanks for joining

00:14:35.940 --> 00:14:37.799
us as we've tried to unpack some of these cloud

00:14:37.799 --> 00:14:39.580
fundamentals today. Yeah, I hope this was helpful.

00:14:39.779 --> 00:14:40.360
We'll catch you next time.
